Unifying Approaches of Sensing Holes and Energy Drain with Time window in Wireless Sensors

Customizing sensor nodes with appropriate sensing and communication capacity, bound to cause problems in hostile environments. So, describing a near-optimal solution relies on the nature of deployment. In this work, the barriers between power consumption and sensing coverage with successive nodes are set for a reassuring lack of blind spots. A relationship between available power and the sensing area is calculated and observed over a specific time window. A single pair of sensors with device-oriented features of residual energy and sensing in terms of distance has been explored. Logistic regression is used to model data with the aspects of residual energy and communication capabilities of sensors being observed.